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SOMMARIVA, SARA

SOMMARIVA, SARA  

100021 - Dipartimento di Matematica  

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Titolo Data di pubblicazione Autore(i) File
A Comparative Study of the Robustness of Frequency-Domain Connectivity Measures to Finite Data Length 1-gen-2019 Sommariva, Sara; Sorrentino, Alberto; Piana, Michele; Pizzella, Vittorio; Marzetti, Laura
A simplex method for the calibration of a MEG device 1-gen-2019 Vivaldi, V.; Sommariva, S.; Sorrentino, A.
Bayesian multi-dipole localization and uncertainty quantification from simultaneous EEG and MEG recordings 1-gen-2017 Rossi, Filippo; Luria, Gianvittorio; Sommariva, S.; Sorrentino, A.
Bayesian multi-dipole modelling in the frequency domain 1-gen-2019 Luria, G.; Duran, D.; Visani, E.; Sommariva, S.; Rotondi, F.; Rossi Sebastiano, D.; Panzica, F.; Piana, M.; Sorrentino, A.
Combined Newton-Gradient Method for Constrained Root-Finding in Chemical Reaction Networks 1-gen-2023 Berra, S; La Torraca, A; Benvenuto, F; Sommariva, S
Computational quantification of global effects induced by mutations and drugs in signaling networks of colorectal cancer cells 1-gen-2021 Sommariva, S.; Caviglia, G.; Ravera, S.; Frassoni, F.; Benvenuto, F.; Tortolina, L.; Castagnino, N.; Parodi, S.; Piana, M.
Editorial: Data science in neuro- and onco-biology 1-gen-2023 Sommariva, S; Subramaniyam, Np; Piana, M
EEG in extreme conditions: An advanced analysis pipeline for the human electroencephalographic signals recorded in space during the ALTEA experiment 1-gen-2023 Sommariva, Sara; Romoli, Giulia; Vallarino, Elisabetta; di Fino, Luca; Sorrentino, Alberto; Santi Amantini, Giorgia; Sannita, Walter G.; Piana, Michele; Narici, Livio
Gain and loss of function mutations in biological chemical reaction networks: a mathematical model with application to colorectal cancer cells 1-gen-2021 Sommariva, S.; Caviglia, G.; Piana, M.
In-silico modelling of the mitogen-activated protein kinase (MAPK) pathway in colorectal cancer: mutations and targeted therapy 1-gen-2023 Sommariva, Sara; Berra, Silvia; Biddau, Giorgia; Caviglia, Giacomo; Benvenuto, Federico; Piana, Michele
Mathematical modelling of nuclear medicine data 1-gen-2020 Piana, M.; Caviglia, G.; Sommariva, S.
Mathematical models for fdg kinetics in cancer: A review 1-gen-2021 Sommariva, S.; Caviglia, G.; Sambuceti, G.; Piana, M.
On the two-step estimation of the cross-power spectrum for dynamical linear inverse problems 1-gen-2020 Vallarino, E.; Sommariva, S.; Piana, M.; Sorrentino, A.
PCA-based synthetic sensitivity coefficients for chemical reaction network in cancer 1-gen-2024 Biddau, Giorgia; Caviglia, Giacomo; Piana, Michele; Sommariva, Sara
Sequential Monte Carlo samplers for semi-linear inverse problems and application to magnetoencephalography 1-gen-2014 Sommariva, Sara; Sorrentino, Alberto
The impact of ROI extraction method for MEG connectivity estimation: Practical recommendations for the study of resting state data 1-gen-2023 Brkic, D; Sommariva, S; Schuler, Al; Pascarella, A; Belardinelli, P; Isabella, Sl; Di Pino, G; Zago, S; Ferrazzi, G; Rasero, J; Arcara, G; Marinazzo, D; Pellegrino, G
The role of endoplasmic reticulum in in vivo cancer FDG kinetics 1-gen-2021 Sommariva, S.; Scussolini, M.; Cossu, V.; Marini, C.; Sambuceti, G.; Caviglia, G.; Piana, M.
The role of spectral complexity in connectivity estimation 1-gen-2021 Vallarino, E.; Sorrentino, A.; Piana, M.; Sommariva, S.
The SESAMEEG package: a probabilistic tool for source localization and uncertainty quantification in M/EEG 1-gen-2024 Luria, G.; Viani, A.; Pascarella, A.; Bornfleth, H.; Sommariva, S.; Sorrentino, A.
Therapeutic Implications of Tumor Microenvironment in Lung Cancer: Focus on Immune Checkpoint Blockade 1-gen-2022 Genova, C.; Dellepiane, C.; Carrega, P.; Sommariva, S.; Ferlazzo, G.; Pronzato, P.; Gangemi, R.; Filaci, G.; Coco, S.; Croce, M.